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486 results for “water use”
Figure 1 in Investigation of GH and GHR Alu I gene polymorphisms on meat yields in Anatolian water buffalo breed using PCR-RFLP method
Figure 1. PCR products of exons 4 and 5 of the GH gene (428-bp band, M: 100-bp DNA ladder).
MiniMPL data for 'Supercooled liquid water cloud classification using lidar backscatter peak properties'
<p>This depository contains MiniMPL data collected in Christchurch, New Zealand from May 2021 to December 2022 for 'Supercooled liquid water cloud classification using lidar backscatter peak properties' by Whitehead et al. (2024). The dataset contains:</p> <ul> <li> MiniMPL data processed with the Automatic Lidar and Ceilometer Framework (ALCF; Kuma et al., 2021)</li> <li>Reference cloud phase mask</li> <li>G22-Christchurch model-generated cloud phase mask</li> <li>Figures comparing the G22-Davis and G22-Christchurch masks to the reference mask</li> </ul>
Code for Manuscript - Near-term lake water temperature forecasts can be used to anticipate the ecological dynamics of freshwater species -
<p>Code for Manuscript - Near-term lake water temperature forecasts can be used to anticipate the ecological dynamics of freshwater species -</p>
Supporting data for 'Rapid quantification of methane in water with parts-per-billion sensitivity using a metal-organic framework-functionalized quartz crystal resonator'
<p>Supporting data for the preprint 'Rapid quantification of methane in water with parts-per-billion sensitivity using a metal-organic framework-functionalized quartz crystal resonator' published at ChemRxiv (doi://10.26434/chemrxiv-2024-x62zz)</p> <p> </p>
Data and Software for: Evidence for Water Ice in Lunar Permanently Shadowed Regions using neutrons, topography and temperature
<p>This archive contains both Data and Software archives that were used to develop and are described in the paper "Evidence for Widespread Hydrogen Sequestration within the Moon’s South Polar Cold Traps"<strong>. </strong>The paper is accepted in the Planetary Science Journal (PSJ), designated AAS46467R3</p> <p>The archive is a tarr'ed and compressed file with a Data and Software subdirectories.</p> <p>Software directory contains several programs written in the Interactive Data Language v. 8.8.3</p> <p>Data directory contains figures and output that were derived for the publication, in several forms</p> <p>The software analyzes public domain lunar south polar neutron, topography and temperature observations to show evidence for water ice in permanently shadowed regions and the latitude extent of observed water ice to 77 deg S. Input data are provided by NASA's Planetary Data System (PDS).</p> <p>Keywords: LEND, Lunar, LRO, topography, water, hydrogen, south pole, permanently shadowed region, temperature</p> <p> </p> <p> </p>
Fig. 6 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 6. Strong positive correlation between time spent in each sector with average depth.
Fig. 2 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 2. Coastal waters of Bago and Pulupandan divided into 16 sectors.
Both diversity and functional composition affect productivity and water use efficiency in experimental temperate grasslands
<p>Many experiments have shown that biodiversity promotes ecosystem functioning and stability and that this relationship varies with resource availability. However, we still have a poor understanding of the underlying physiological and ecological mechanisms driving diversity effects and how they may interact with soil nutrient availability.</p> <p>We collected data in a grassland experiment factorially manipulating fertilization, species richness, functional composition (slow-growing <i>vs</i>. fast-growing species), and functional diversity in resource economic traits. We measured aboveground productivity, nitrogen (N) uptake, photosynthesis, and water use efficiency by combining a <sup>15</sup>N labelling approach with productivity, gas exchange, and stable isotope measurements in three years differing in rainfall.</p> <p>We found that sown species richness increased aboveground productivity, N uptake and photosynthesis, suggesting that species richness is the most important driver of ecosystem productivity and nutrient cycling. Similarly, photosynthesis was affected by functional composition but not by functional diversity. Water use efficiency was reduced by sown species richness for communities dominated by slow growing species but not for communities dominated by fast growing species. Fertilization increased productivity, N uptake and water use efficiency. The positive effects of high species richness on ecosystem functions were independent of fertility levels.</p> <p><i>Synthesis</i>. Our results provide evidence that high species richness in temperate grasslands could enhance productivity and reduce the negative impacts of drought events. Multiple factors and community characteristics are important in driving enhanced ecosystem functioning in biodiverse grasslands and seem to affect functioning and stability through different mechanisms.</p>
The global water resources and use model WaterGAP v2.2e: streamflow calibration and evaluation data basis
<p>The data collection covers the streamflow data used for calibrating and validating the global water use and availability model WaterGAP v2.2e. The collection is a result of a data selection, assessment and merge effort from three data sources (GRDC, GSIM, ADHI) for in total 1509 stations. The stations are co-registered to the DDM30 (Döll & Lehner 2002) according their best hydrological fit.</p> <p>Please see the readme.md for details. Version 1.1 contains now the shapefiles as a zip instead single files which makes downlad more convenient.</p> <p> </p>
Data from: Delineating seagrass species in the genera Halodule and Halophila from Tanzanian coastal waters using ITS and rbcL DNA barcoding
<p>The seagrass species in <em>Halodule</em> and <em>Halophila</em> may for several reasons be considered as taxonomic complexes. They show close evolutionary relationships, morphological plasticity, and share similar features making misidentifications likely when morphological identification is applied. In Tanzanian coastal waters, there is some uncertainty about the identity of members of <em>Halodule</em>, particularly the existence of <em>Halodule wrightii</em> and the species composition of the <em>Halophila ovalis</em> complex. This study used morphology as well as internal transcribed spacer (ITS1 and ITS2) and ribulose-bisphosphate carboxylase (rbcL) DNA barcoding to identify species of <em>Halodule</em> and <em>Halophila</em>. Seagrass samples were collected during low spring tides, from Tanzania's coastal waters of Tanga, Dar es Salaam, Mtwara, Mafia Island, and Unguja Island, from August 2020 to February 2022. Morphological diagnosis, phylogenetic analysis, and evolutionary divergences inferred from the ITS gene supported the identification of five species, namely <em>Halophila ovalis</em>, <em>H. minor,</em> and <em>H. stipulacea</em>, with the first two forming the <em>H. ovalis</em> complex; as well as <em>Halodule uninervis</em> and <em>H. pinifolia</em>. It is the first time that <em>H. pinifolia</em> is reported in Tanzania. This is the first study reporting the delineation of seagrass species in East African coastal waters using DNA barcoding coupled with morphology.</p>
Predicting the density of zooplankton subsidy to a stream with multiple impoundments using water quality parameters
<p>Damming a stream inserts a lentic system (an impoundment or reservoir) into a lotic system, changing downstream hydrological, biogeochemical, and ecological processes. One such ecological effect of damming is to create a resource subsidy of easily captured and consumed zooplankton, which are preyed upon by filter-feeders and visual predators. The data included here were used to predict the density of lentic zooplankton subsidizing downstream habitats with water quality parameters as an alternative to microscopy. We also used this data to detect three different water quality regimes (high conductivity, high-CDOM, and a remainder) that are associated with differences in the density of zooplankton. This dataset is contained in two parts, both of which are focused on zooplankton density in the effluent of a series of tributary-impoundment reservoirs: 1) zooplankton density for a single summer season with water quality parameters and 2) zooplankton density for a series of three summers without water quality parameters.</p>
Genova - Water used for irrigation
<p>Calculated rainwater or greywater use for irrigation purposes for three rainwater collection scenarios in Genova.</p>
Plant water use strategies predict restoration success across degraded drylands
<ul> <li>Plant strategies for coping with water limitation are likely to mediate restoration outcomes in degraded dryland ecosystems. Tradeoffs in traits related to water acquisition and use can intensify in more arid environments, making their effects on dryland restoration success even more salient. However, isolating the effects of drought responses from those of other environmental factors, as well as identifying the specific drought resistance traits that influence restoration success, can be difficult.</li> <li>In the present study, we couple a controlled dry-down experiment with a cross-site restoration field trial of out-planted seedlings (RestoreNet) using a suite of dryland herbaceous plant species from the same seed sources. We quantified interspecific variation in physiological responses to drought, specifically reductions in stomatal conductance (g<sub>s</sub>) and stem water potential (SWP), by comparing well-watered control plants to those experiencing decreasing soil moisture.</li> <li>Drought responses of SWP and g<sub>s</sub> varied independently among species, but both were related to survival in the cross-site restoration field trial when effect sizes were aggregated across all sites. Responses were consistent with acquisitive water use strategies resulting in greater success, where species with greater declines in SWP or weaker declines in g<sub>s</sub> under drought had greater survival. The correlation between SWP drought response and survival also intensified in sites with lower accumulated precipitation following restoration.</li> <li>Differences among functional groups revealed two different paths to restoration success: forbs that maintain high g<sub>s</sub> and narrow safety margins to maximize exploitation of moisture pulses before going into drought dormancy, or C<sub>4</sub> grasses that maintain efficient water uptake in drying soils while risking cavitation. C<sub>3</sub> grass species varied between these two strategies.</li> <li> <em>Synthesis and applications</em>: Taken together, the results of this study and others conducted at RestoreNet sites indicate that while a diversity of physiological responses to drought may exist in dryland plant communities, successfully restoring herbaceous species through out-planting in degraded conditions is likely to be achieved with species that maximize water uptake via one of two strategies, with tolerance of low SWP being particularly important in the most arid settings.</li> </ul>
Data from: Detection of vertebrates from natural and artificial inland water bodies in a semi-arid habitat using eDNA from filtered, swept and sediment samples
<p>Climate warming will impact the sustainability of arid and semi-arid zone environments so we need to understand the influence of changes in arid lands on vertebrate populations. However, biomonitoring and biodiversity assessment in arid environments can be prohibitively time-consuming, expensive, and logistically challenging due to their often remote and inhospitable nature. Sampling of environmental DNA (eDNA) coupled with high-throughput sequencing is an emerging biodiversity assessment method. Here we explore the application of eDNA metabarcoding and various sampling approaches to estimate vertebrate richness and assemblage at human-constructed and natural water sources in a semi-arid region of Western Australia. Three sampling methods: sediment samples, filtering through a membrane with a pump, and membrane sweeping in the water body, were compared using two eDNA metabarcoding assays, 12S-V5 and 16smam, for 120 eDNA samples collected from four gnammas (gnamma: Australian Indigenous Noongar language term – granite rock pools) and four cattle troughs in the Great Western Woodlands, Western Australia. We detected higher vertebrate richness in samples from cattle troughs and found differences between assemblages detected in gnammas (more birds and amphibians) and cattle troughs (more mammals, including feral taxa). Total vertebrate richness was not different between swept and filtered samples, but all sampling methods yielded different assemblages. Our findings indicate that eDNA surveys in arid lands will benefit from collecting multiple samples at multiple water sources to avoid underestimating vertebrate richness. The high concentration of eDNA in small, isolated water bodies permits the use of sweep sampling which simplifies sample collection, processing, and storage, particularly when assessing vertebrate biodiversity across large spatial scales.</p>
Novel cropping system strategies in China can increase plant protein with higher economic value but lower greenhouse gas emissions and water use
<p> This database contains the average crop residue, manure nitrogen, manure organic carbon, net greenhouse gas emissions, and cropland area for 17 cropping systems at prefecture level during the period 2014-2018. In addition, it contained the changes of net greenhouse gas emissions caused by the optimization at prefecture level and province level.</p> <p> We also shared the key code for optimizing cropping systems at prefecture level and provided the all data. Users can run it the Matlab platform.</p>
Figure 2 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 2 Point Rosa Marsh along Lake St. Clair, Harrison Township, Michigan, USA. (A) Taken at
Figure 1 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 1 Map of Lake St. Clair Metropark with inset showing placement in the Lake St. Clair
Review data for: SnowQM 1.0: A fast R Package for bias-correcting spatial fields of snow water equivalent using quantile mapping
<p>Climatology of snow water equivalent of Switzerland between winters 1962 and 2021. Obtained using quartile mapping between a model using data assimilation since 1998 and a model without data assimilation. This version of the dataset corresponds to the publication revision time. The publication has been submitted to GMD Copernicus journal as: <em>SnowQM 1.0: A fast R Package for bias-correcting spatial fields of snow water equivalent using quantile mapping</em></p>
Validation of the satellite-estimated sedimentation rates in reservoirs using 10-m Sentinel-2 satellites and water level data
<p><strong>Overview</strong>: The database contains data used for the validation of satellite-based sedimentation rates in eight reservoirs across the central and western United States using 10-m Sentinel-2 imagery and in-situ level data. Additional validation of the results from combining Sentinel-2 imagery with simulated 27-day Sentinel-3 altimetry levels is also included.</p> <p> </p> <p><strong>This dataset includes</strong>:</p> <ol> <li>Satellite-derived area-level duplets</li> <li>Bathymetry curves from satellite-based estimates</li> <li>Bathymetry curves from survey data</li> <li>Validation</li> </ol>
swu_dhe v1: Sectoral water use responses to droughts and heatwaves
<p>These datasets enables the assessment of sectoral water use responses during droughts, heatwaves and compound events at global, regional and local scales. File names contain the spatial scale of the analysis, water dimension, water sector and period of analysis. Datasets show the median percentile of a sectoral water use (i.e., irrigation, domestic, thermoelectric, manufacturing, livestock) during an extreme event and a normal (non-extreme event) period. Files are in comma-separated values (csv) format for easy reading.</p> <p>In addition, mid-step calculation results, such us identified droughts, heatwaves and compound events, are also included. File names contain the periods of evaluation and input datasets used. These resulting datasets are in NetCDF (nc) format, with a resolution of 30 arcmin (gridded) at a global scale and at a monthly time step. Moreover, input files on sectoral water demands at local and regional scales are also included.</p> <p>Datasets included here allow the reproducibility of the analysis of sectoral water use responses during drought, heatwaves and compound events. Scripts used can be found on GitHub (https://doi.org/10.5281/zenodo.8122407).</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.